amazon-ec2

问题 The problem is simple. I need to copy the files from one EBS to Another without passing the files through my local machine. Is this possible? If so how? 回答1: In order to copy files from one EBS volume to another EBS volume, both volumes will (at some point) need to be attached to an instance, though not necessarily the same instance. There are a lot of ways to do this if you allow for multiple instances and/or temporarily storing the files on a third storage option, but without constraints,

问题 The problem is simple. I need to copy the files from one EBS to Another without passing the files through my local machine. Is this possible? If so how? 回答1: In order to copy files from one EBS volume to another EBS volume, both volumes will (at some point) need to be attached to an instance, though not necessarily the same instance. There are a lot of ways to do this if you allow for multiple instances and/or temporarily storing the files on a third storage option, but without constraints,

问题 The problem is simple. I need to copy the files from one EBS to Another without passing the files through my local machine. Is this possible? If so how? 回答1: In order to copy files from one EBS volume to another EBS volume, both volumes will (at some point) need to be attached to an instance, though not necessarily the same instance. There are a lot of ways to do this if you allow for multiple instances and/or temporarily storing the files on a third storage option, but without constraints,

问题 I'm trying to narrow down the minimal policy to run a predefined machine image. The image is based on two snapshots and I only want "m1.medium" instance types to be launched. Based on that and with the help of this page and this article, I worked out the following policy: { "Version": "2012-10-17", "Statement": [ { "Sid": "Stmt1385026304010", "Effect": "Allow", "Action": [ "ec2:RunInstances" ], "Condition": { "StringEquals": { "ec2:InstanceType": "m1.medium" } }, "Resource": [ "arn:aws:ec2:us

问题 AWS DocumentDB is a relatively new service we're trying to migrate to. To connect from outside of the VPC, you have to create a tunnel to an existing instance. For example: ssh -i "ec2Access.pem" -L 27017:sample-cluster.cluster-cu52jq5kfddg.us-east-1.docdb.amazonaws.com:27017 ubuntu@ec2-34-229-221-164.compute-1.amazonaws.com -N And then you can connect from mongo shell with: mongo --sslAllowInvalidHostnames --ssl --sslCAFile rds-combined-ca-bundle.pem --username <yourUsername> --password

问题 Is it possible to have an EC2 instance running, listening on port 443 , without a load balancer ? I'm trying right now in my Node.JS app but it doesn't work when I call the page using https:// . However, if I set it to port 80 everything works fine with http:// . I had it working earlier with a load balancer and route53 , but I don't want to pay $18/mo for an ELB anymore, especially when I only have one server running. Thanks for the help 回答1: You're right, if it's only the one instance and

问题 I'm trying to run Elastic search in an Ubuntu EC2 machine (t2.medium). But I'm getting the message: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144] How can I increase the vm.max_map_count? 回答1: To make it persistent, you can add this line: vm.max_map_count=262144 in your /etc/sysctl.conf and run $ sudo sysctl -p to reload configuration with new value 回答2: I use # sysctl -w vm.max_map_count=262144 And for the persistence configuration # echo "vm.max

问题 Running a Python Spark Application via API call - On submitting the Application - response - Failed SSH into the Worker My python application exists in /root/spark/work/driver-id/wordcount.py Error can be found in /root/spark/work/driver-id/stderr Show the following error - Traceback (most recent call last): File "/root/wordcount.py", line 34, in <module> main() File "/root/wordcount.py", line 18, in main sc = SparkContext(conf=conf) File "/root/spark/python/lib/pyspark.zip/pyspark/context.py

问题 I'm trying to run Elastic search in an Ubuntu EC2 machine (t2.medium). But I'm getting the message: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144] How can I increase the vm.max_map_count? 回答1: To make it persistent, you can add this line: vm.max_map_count=262144 in your /etc/sysctl.conf and run $ sudo sysctl -p to reload configuration with new value 回答2: I use # sysctl -w vm.max_map_count=262144 And for the persistence configuration # echo "vm.max

问题 Running a Python Spark Application via API call - On submitting the Application - response - Failed SSH into the Worker My python application exists in /root/spark/work/driver-id/wordcount.py Error can be found in /root/spark/work/driver-id/stderr Show the following error - Traceback (most recent call last): File "/root/wordcount.py", line 34, in <module> main() File "/root/wordcount.py", line 18, in main sc = SparkContext(conf=conf) File "/root/spark/python/lib/pyspark.zip/pyspark/context.py